Vision-Based SLAM: Stereo and Monocular Approaches
By Thomas Lemaire, Cyrille Berger, Il-Kyun Jung, Simon Lacroix. International Journal of Computer Vision, 2007
311 citations recorded by the source corpus.
Subfields: Aerospace Engineering, Computer Vision and Pattern Recognition
View Paper: https://www.semanticscholar.org/paper/8882dc6692fd7437971116ecee3f67e166ab7c6f
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Aerospace Engineering
- Friedrich Fraundorfer
- Davide Scaramuzza
- Jorge Fuentes-Pacheco
- Juan Manuel Rendón-Mancha
- Adrien Angeli
- Stéphane Doncieux
- David Filliat
- José Ruíz Ascencio
In Computer Vision and Pattern Recognition
- Friedrich Fraundorfer
- Davide Scaramuzza
- Jorge Fuentes-Pacheco
- Juan Manuel Rendón-Mancha
- Adrien Angeli
- Stéphane Doncieux
- David Filliat
- José Ruíz Ascencio
Citations in the corpus
- Survey of advances in guidance, navigation, and control of unmanned rotorcraft systems (2012, background): “In the framework of the WITAS project at Linköping University, an onboard vision-based perception system was developed for ground vehicle tracking and surveillance by a robotic helicopter. We did not find any published experimental results, but the video clip available at Linkoping (2003) shows the ”
- Fast and Incremental Method for Loop-Closure Detection Using Bags of Visual Words (2008, methodology): “The overall goal of the research effort reported in this paper is thus to design a vision-based framework, tackling these issues so as to make it possible for a robot to reinitialize a visual 3-D-SLAM algorithm like one of those presented in [6] or [7] in such situations.”
- Visual Odometry : Part II: Matching, Robustness, Optimization, and Applications (2012, methodology): “Lines and Edgelets An alternative to point features for VO is to use lines or edgelets, as proposed in [27] and [28].”
- Visual simultaneous localization and mapping: a survey (2012, methodology): “2006), cameras (Se et al. 2005; Lemaire et al. 2007; Davison 2003; Bogdan et al. 2009) and global positioning systems (GPS) (Thrun et al.”